Geoffrey Roeder

发表

On Linear Identifiability of Learned Representations pdf

Luke Metz, Diederik P. Kingma, Geoffrey Roeder, 2020, ICML.

Learning Composable Energy Surrogates for PDE Order Reduction pdf

Ryan P. Adams, Alex Beatson, Jordan T. Ash, 2020, NeurIPS.

Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference pdf

David Duvenaud, Geoffrey Roeder, Yuhuai Wu, 2017, ArXiv.

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation pdf

David Duvenaud, Will Grathwohl, Geoffrey Roeder, 2017, ICLR.

Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems pdf

Andrew Phillips, Neil Dalchau, Geoffrey Roeder, 2019, ICML.

A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation.

Sigrid Adriaenssens, Geoffrey Roeder, Tianju Xue, 2020, Soft matter.

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

David Duvenaud, Geoffrey Roeder, Yuhuai Wu, 2017, NIPS.

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework pdf

Geoffrey Roeder, Tai-Danae Bradley, Jacob Miller, 2021, ArXiv.